Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	115
Missing cells	62
Missing cells (%)	1.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.3 KiB
Average record size in memory	225.1 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-24"	Constant
`url` has a high cardinality: 115 distinct values	High cardinality
`name` has a high cardinality: 85 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 72 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 72 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 54 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 63 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 65 distinct values	High cardinality
`_links_self_href` has a high cardinality: 115 distinct values	High cardinality
`season` is highly correlated with `_embedded_show_updated`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_weight` is highly correlated with `_embedded_show_updated`	High correlation
`_embedded_show_updated` is highly correlated with `season` and 1 other fields	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_weight` is highly correlated with `_embedded_show_updated`	High correlation
`_embedded_show_updated` is highly correlated with `_embedded_show_weight`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`name` is highly correlated with `_embedded_show_officialSite` and 4 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `name` and 13 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 5 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`summary` is highly correlated with `airdate`	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`type` is highly correlated with `name` and 5 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airdate` is highly correlated with `name` and 15 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_name` and 5 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `name` and 12 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 4 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `name` and 7 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`id` is highly correlated with `name` and 15 other fields	High correlation
`name` is highly correlated with `id` and 20 other fields	High correlation
`season` is highly correlated with `id` and 6 other fields	High correlation
`number` is highly correlated with `name` and 10 other fields	High correlation
`type` is highly correlated with `name` and 7 other fields	High correlation
`airtime` is highly correlated with `airstamp` and 12 other fields	High correlation
`airstamp` is highly correlated with `name` and 18 other fields	High correlation
`runtime` is highly correlated with `name` and 13 other fields	High correlation
`summary` is highly correlated with `name` and 3 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `name` and 15 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `name` and 16 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `id` and 7 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 14 other fields	High correlation
`number` has 2 (1.7%) missing values	Missing
`runtime` has 12 (10.4%) missing values	Missing
`_embedded_show_runtime` has 38 (33.0%) missing values	Missing
`_embedded_show_averageRuntime` has 10 (8.7%) missing values	Missing
`url` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:19:56.859007
Analysis finished	2022-05-10 02:20:32.193599
Duration	35.33 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	115
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2037701.643

Minimum	1949912
Maximum	2324415
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1949912
5-th percentile	1962244.3
Q1	1985633
median	1992696
Q3	2032665
95-th percentile	2314594.6
Maximum	2324415
Range	374503
Interquartile range (IQR)	47032

Descriptive statistics

Standard deviation	101773.9523
Coefficient of variation (CV)	0.04994546314
Kurtosis	2.300010772
Mean	2037701.643
Median Absolute Deviation (MAD)	13909
Skewness	1.88264804
Sum	234335689
Variance	1.035793737 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1977900	1	0.9%
2005323	1	0.9%
2000066	1	0.9%
1997527	1	0.9%
1997526	1	0.9%
1988404	1	0.9%
1985478	1	0.9%
1985477	1	0.9%
2005419	1	0.9%
1978787	1	0.9%
Other values (105)	105	91.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1949912	1	0.9%
1949913	1	0.9%
1950368	1	0.9%
1950702	1	0.9%
1955317	1	0.9%
1960733	1	0.9%
1962892	1	0.9%
1963999	1	0.9%
1964394	1	0.9%
1972573	1	0.9%

Value	Count	Frequency (%)
2324415	1	0.9%
2324414	1	0.9%
2324413	1	0.9%
2324412	1	0.9%
2324411	1	0.9%
2324410	1	0.9%
2310388	1	0.9%
2289379	1	0.9%
2289325	1	0.9%
2261647	1	0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	115
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://www.tvmaze.com/episodes/1977900/obycnaa-zensina-2x04-seria-13	1
https://www.tvmaze.com/episodes/2005323/laikykites-ten-5x16-kalediniai-burtai-ir-ypatingos-eglutes	1
https://www.tvmaze.com/episodes/2000066/ultimate-note-1x19-episode-19	1
https://www.tvmaze.com/episodes/1997527/the-penalty-zone-1x20-episode-20	1
https://www.tvmaze.com/episodes/1997526/the-penalty-zone-1x19-episode-19	1
Other values (110)	110

Length

Max length	145
Median length	105
Mean length	80.93043478
Min length	58

Characters and Unicode

Total characters	9307
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	115 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1977900/obycnaa-zensina-2x04-seria-13
2nd row	https://www.tvmaze.com/episodes/1963999/257-pricin-ctoby-zit-2x09-seria-22
3rd row	https://www.tvmaze.com/episodes/1949912/smesariki-novyj-sezon-1x33-zagvozdka
4th row	https://www.tvmaze.com/episodes/1949913/smesariki-novyj-sezon-1x34-starinnyj-novogodnij-obycaj
5th row	https://www.tvmaze.com/episodes/1960733/psih-1x08-vozrozdenie

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977900/obycnaa-zensina-2x04-seria-13	1	0.9%
https://www.tvmaze.com/episodes/2005323/laikykites-ten-5x16-kalediniai-burtai-ir-ypatingos-eglutes	1	0.9%
https://www.tvmaze.com/episodes/2000066/ultimate-note-1x19-episode-19	1	0.9%
https://www.tvmaze.com/episodes/1997527/the-penalty-zone-1x20-episode-20	1	0.9%
https://www.tvmaze.com/episodes/1997526/the-penalty-zone-1x19-episode-19	1	0.9%
https://www.tvmaze.com/episodes/1988404/love-teenager-1x02-school-life-after-separation-with-first-class-boyfriend	1	0.9%
https://www.tvmaze.com/episodes/1985478/you-complete-me-1x22-episode-22	1	0.9%
https://www.tvmaze.com/episodes/1985477/you-complete-me-1x21-episode-21	1	0.9%
https://www.tvmaze.com/episodes/2005419/yes-chef-1x02-omsvarmad-av-bin-pa-gotland	1	0.9%
https://www.tvmaze.com/episodes/1978787/offgun-mommy-taste-1x10-episode-10	1	0.9%
Other values (105)	105	91.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977900/obycnaa-zensina-2x04-seria-13	1	0.9%
https://www.tvmaze.com/episodes/1999303/futmallscom-1x08-episode-8	1	0.9%
https://www.tvmaze.com/episodes/1949912/smesariki-novyj-sezon-1x33-zagvozdka	1	0.9%
https://www.tvmaze.com/episodes/1949913/smesariki-novyj-sezon-1x34-starinnyj-novogodnij-obycaj	1	0.9%
https://www.tvmaze.com/episodes/1960733/psih-1x08-vozrozdenie	1	0.9%
https://www.tvmaze.com/episodes/1982409/volk-1x11-seria-11	1	0.9%
https://www.tvmaze.com/episodes/1982410/volk-1x12-seria-12	1	0.9%
https://www.tvmaze.com/episodes/1987502/passaziry-1x01-svetlana-i-igor	1	0.9%
https://www.tvmaze.com/episodes/1987720/passaziry-1x02-saska	1	0.9%
https://www.tvmaze.com/episodes/1985788/theres-a-pit-in-my-senior-martial-brothers-brain-2x10-episode-10	1	0.9%
Other values (105)	105	91.3%

Most occurring characters

Value	Count	Frequency (%)
e	773	8.3%
-	711	7.6%
s	608	6.5%
/	575	6.2%
t	560	6.0%
o	520	5.6%
i	406	4.4%
w	377	4.1%
p	361	3.9%
a	360	3.9%
Other values (30)	4056	43.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6365	68.4%
Decimal Number	1311	14.1%
Other Punctuation	920	9.9%
Dash Punctuation	711	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	773	12.1%
s	608	9.6%
t	560	8.8%
o	520	8.2%
i	406	6.4%
w	377	5.9%
p	361	5.7%
a	360	5.7%
m	331	5.2%
d	279	4.4%
Other values (16)	1790	28.1%

Decimal Number

Value	Count	Frequency (%)
1	262	20.0%
2	212	16.2%
0	185	14.1%
9	176	13.4%
3	93	7.1%
4	93	7.1%
5	82	6.3%
8	78	5.9%
7	77	5.9%
6	53	4.0%

Other Punctuation

Value	Count	Frequency (%)
/	575	62.5%
.	230	25.0%
:	115	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	711	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6365	68.4%
Common	2942	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	773	12.1%
s	608	9.6%
t	560	8.8%
o	520	8.2%
i	406	6.4%
w	377	5.9%
p	361	5.7%
a	360	5.7%
m	331	5.2%
d	279	4.4%
Other values (16)	1790	28.1%

Common

Value	Count	Frequency (%)
-	711	24.2%
/	575	19.5%
1	262	8.9%
.	230	7.8%
2	212	7.2%
0	185	6.3%
9	176	6.0%
:	115	3.9%
3	93	3.2%
4	93	3.2%
Other values (4)	290	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9307	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	773	8.3%
-	711	7.6%
s	608	6.5%
/	575	6.2%
t	560	6.0%
o	520	5.6%
i	406	4.4%
w	377	4.1%
p	361	3.9%
a	360	3.9%
Other values (30)	4056	43.6%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	85
Distinct (%)	73.9%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Episode 5	6
Episode 3	5
Episode 4	4
Episode 6	4
Episode 2	4
Other values (80)	92

Length

Max length	98
Median length	74
Mean length	19.6
Min length	5

Characters and Unicode

Total characters	2254
Distinct characters	140
Distinct categories	13 ?
Distinct scripts	5 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	69 ?
Unique (%)	60.0%

Sample

1st row	Серия 13
2nd row	Серия 22
3rd row	Загвоздка
4th row	Старинный новогодний обычай
5th row	Возрождение

Common Values

Value	Count	Frequency (%)
Episode 5	6	5.2%
Episode 3	5	4.3%
Episode 4	4	3.5%
Episode 6	4	3.5%
Episode 2	4	3.5%
Episode 1	3	2.6%
Episode 8	2	1.7%
Episode 19	2	1.7%
Episode 20	2	1.7%
Episode 22	2	1.7%
Other values (75)	81	70.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	49	12.1%
the	16	3.9%
	11	2.7%
5	9	2.2%
3	7	1.7%
1	7	1.7%
4	6	1.5%
2	6	1.5%
confetti	6	1.5%
of	6	1.5%
Other values (228)	283	69.7%

Most occurring characters

Value	Count	Frequency (%)
	291	12.9%
e	156	6.9%
i	132	5.9%
o	106	4.7%
s	101	4.5%
t	87	3.9%
d	76	3.4%
p	74	3.3%
a	69	3.1%
n	56	2.5%
Other values (130)	1106	49.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1505	66.8%
Space Separator	291	12.9%
Uppercase Letter	271	12.0%
Decimal Number	113	5.0%
Other Punctuation	47	2.1%
Other Letter	14	0.6%
Dash Punctuation	6	0.3%
Math Symbol	2	0.1%
Initial Punctuation	1	< 0.1%
Final Punctuation	1	< 0.1%
Other values (3)	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	156	10.4%
i	132	8.8%
o	106	7.0%
s	101	6.7%
t	87	5.8%
d	76	5.0%
p	74	4.9%
a	69	4.6%
n	56	3.7%
r	56	3.7%
Other values (51)	592	39.3%

Uppercase Letter

Value	Count	Frequency (%)
E	54	19.9%
T	19	7.0%
S	18	6.6%
C	17	6.3%
B	16	5.9%
P	10	3.7%
W	9	3.3%
O	9	3.3%
К	9	3.3%
H	8	3.0%
Other values (31)	102	37.6%

Decimal Number

Value	Count	Frequency (%)
2	30	26.5%
1	22	19.5%
3	17	15.0%
0	11	9.7%
5	10	8.8%
4	9	8.0%
6	6	5.3%
8	3	2.7%
7	3	2.7%
9	2	1.8%

Other Letter

Value	Count	Frequency (%)
ن	3	21.4%
و	2	14.3%
ا	2	14.3%
ك	1	7.1%
ر	1	7.1%
ش	1	7.1%
د	1	7.1%
ع	1	7.1%
م	1	7.1%
一	1	7.1%

Other Punctuation

Value	Count	Frequency (%)
'	14	29.8%
:	10	21.3%
,	9	19.1%
/	5	10.6%
.	4	8.5%
?	2	4.3%
*	1	2.1%
&	1	2.1%
#	1	2.1%

Dash Punctuation

Value	Count	Frequency (%)
-	4	66.7%
—	2	33.3%

Space Separator

Value	Count	Frequency (%)
	291	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	1	100.0%

Other Symbol

Value	Count	Frequency (%)
№	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1373	60.9%
Common	464	20.6%
Cyrillic	403	17.9%
Arabic	13	0.6%
Han	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	156	11.4%
i	132	9.6%
o	106	7.7%
s	101	7.4%
t	87	6.3%
d	76	5.5%
p	74	5.4%
a	69	5.0%
n	56	4.1%
r	56	4.1%
Other values (43)	460	33.5%

Cyrillic

Value	Count	Frequency (%)
о	48	11.9%
а	37	9.2%
р	33	8.2%
и	24	6.0%
е	24	6.0%
н	20	5.0%
с	18	4.5%
к	17	4.2%
в	16	4.0%
л	12	3.0%
Other values (39)	154	38.2%

Common

Value	Count	Frequency (%)
	291	62.7%
2	30	6.5%
1	22	4.7%
3	17	3.7%
'	14	3.0%
0	11	2.4%
:	10	2.2%
5	10	2.2%
4	9	1.9%
,	9	1.9%
Other values (18)	41	8.8%

Arabic

Value	Count	Frequency (%)
ن	3	23.1%
و	2	15.4%
ا	2	15.4%
ك	1	7.7%
ر	1	7.7%
ش	1	7.7%
د	1	7.7%
ع	1	7.7%
م	1	7.7%

Han

Value	Count	Frequency (%)
一	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1820	80.7%
Cyrillic	403	17.9%
None	14	0.6%
Arabic	13	0.6%
Punctuation	2	0.1%
CJK	1	< 0.1%
Letterlike Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	291	16.0%
e	156	8.6%
i	132	7.3%
o	106	5.8%
s	101	5.5%
t	87	4.8%
d	76	4.2%
p	74	4.1%
a	69	3.8%
n	56	3.1%
Other values (61)	672	36.9%

Cyrillic

Value	Count	Frequency (%)
о	48	11.9%
а	37	9.2%
р	33	8.2%
и	24	6.0%
е	24	6.0%
н	20	5.0%
с	18	4.5%
к	17	4.2%
в	16	4.0%
л	12	3.0%
Other values (39)	154	38.2%

None

Value	Count	Frequency (%)
ö	3	21.4%
ü	3	21.4%
ė	2	14.3%
å	2	14.3%
«	1	7.1%
»	1	7.1%
ä	1	7.1%
ã	1	7.1%

Arabic

Value	Count	Frequency (%)
ن	3	23.1%
و	2	15.4%
ا	2	15.4%
ك	1	7.7%
ر	1	7.7%
ش	1	7.7%
د	1	7.7%
ع	1	7.7%
م	1	7.7%

Punctuation

Value	Count	Frequency (%)
—	2	100.0%

CJK

Value	Count	Frequency (%)
一	1	100.0%

Letterlike Symbols

Value	Count	Frequency (%)
№	1	100.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	108.0086957

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2.5
95-th percentile	641.7
Maximum	2020
Range	2019
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	450.5891172
Coefficient of variation (CV)	4.171785563
Kurtosis	14.90812086
Mean	108.0086957
Median Absolute Deviation (MAD)	0
Skewness	4.079927175
Sum	12421
Variance	203030.5526
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	68	59.1%
2	18	15.7%
3	8	7.0%
2020	6	5.2%
4	5	4.3%
5	3	2.6%
8	1	0.9%
6	1	0.9%
18	1	0.9%
15	1	0.9%
Other values (3)	3	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	68	59.1%
2	18	15.7%
3	8	7.0%
4	5	4.3%
5	3	2.6%
6	1	0.9%
8	1	0.9%
9	1	0.9%
15	1	0.9%
18	1	0.9%

Value	Count	Frequency (%)
2020	6	5.2%
51	1	0.9%
31	1	0.9%
18	1	0.9%
15	1	0.9%
9	1	0.9%
8	1	0.9%
6	1	0.9%
5	3	2.6%
4	5	4.3%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	33.6%
Missing	2
Missing (%)	1.7%
Infinite	0
Infinite (%)	0.0%
Mean	16.95575221

Minimum	1
Maximum	351
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	20
95-th percentile	52.8
Maximum	351
Range	350
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	35.6982366
Coefficient of variation (CV)	2.105376167
Kurtosis	69.42972939
Mean	16.95575221
Median Absolute Deviation (MAD)	5
Skewness	7.599904357
Sum	1916
Variance	1274.364096
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
2	11	9.6%
5	9	7.8%
3	9	7.8%
4	8	7.0%
1	8	7.0%
7	7	6.1%
8	7	6.1%
6	5	4.3%
10	4	3.5%
11	4	3.5%
Other values (28)	41	35.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8	7.0%
2	11	9.6%
3	9	7.8%
4	8	7.0%
5	9	7.8%
6	5	4.3%
7	7	6.1%
8	7	6.1%
9	2	1.7%
10	4	3.5%

Value	Count	Frequency (%)
351	1	0.9%
85	1	0.9%
73	1	0.9%
68	1	0.9%
57	1	0.9%
54	1	0.9%
52	2	1.7%
49	1	0.9%
43	1	0.9%
39	1	0.9%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

regular	113
insignificant_special	1
significant_special	1

Length

Max length	21
Median length	7
Mean length	7.226086957
Min length	7

Characters and Unicode

Total characters	831
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.7%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	113	98.3%
insignificant_special	1	0.9%
significant_special	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	113	98.3%
insignificant_special	1	0.9%
significant_special	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
r	226	27.2%
a	117	14.1%
e	115	13.8%
g	115	13.8%
l	115	13.8%
u	113	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	829	99.8%
Connector Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	226	27.3%
a	117	14.1%
e	115	13.9%
g	115	13.9%
l	115	13.9%
u	113	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	829	99.8%
Common	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	226	27.3%
a	117	14.1%
e	115	13.9%
g	115	13.9%
l	115	13.9%
u	113	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	831	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	226	27.2%
a	117	14.1%
e	115	13.8%
g	115	13.8%
l	115	13.8%
u	113	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-24	115

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1150
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-24
2nd row	2020-12-24
3rd row	2020-12-24
4th row	2020-12-24
5th row	2020-12-24

Common Values

Value	Count	Frequency (%)
2020-12-24	115	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-24	115	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	460	40.0%
0	230	20.0%
-	230	20.0%
1	115	10.0%
4	115	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	920	80.0%
Dash Punctuation	230	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	460	50.0%
0	230	25.0%
1	115	12.5%
4	115	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	230	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1150	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	460	40.0%
0	230	20.0%
-	230	20.0%
1	115	10.0%
4	115	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	460	40.0%
0	230	20.0%
-	230	20.0%
1	115	10.0%
4	115	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

nan	86
12:00	10
20:00	4
06:00	3
10:00	2
Other values (9)	10

Length

Max length	5
Median length	3
Mean length	3.504347826
Min length	3

Characters and Unicode

Total characters	403
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	7.0%

Sample

1st row	10:00
2nd row	nan
3rd row	nan
4th row	nan
5th row	12:00

Common Values

Value	Count	Frequency (%)
nan	86	74.8%
12:00	10	8.7%
20:00	4	3.5%
06:00	3	2.6%
10:00	2	1.7%
21:00	2	1.7%
11:00	1	0.9%
17:00	1	0.9%
20:20	1	0.9%
18:00	1	0.9%
Other values (4)	4	3.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	86	74.8%
12:00	10	8.7%
20:00	4	3.5%
06:00	3	2.6%
10:00	2	1.7%
21:00	2	1.7%
11:00	1	0.9%
17:00	1	0.9%
20:20	1	0.9%
18:00	1	0.9%
Other values (4)	4	3.5%

Most occurring characters

Value	Count	Frequency (%)
n	172	42.7%
a	86	21.3%
0	67	16.6%
:	29	7.2%
1	20	5.0%
2	19	4.7%
6	3	0.7%
9	2	0.5%
5	2	0.5%
7	1	0.2%
Other values (2)	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	258	64.0%
Decimal Number	116	28.8%
Other Punctuation	29	7.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	67	57.8%
1	20	17.2%
2	19	16.4%
6	3	2.6%
9	2	1.7%
5	2	1.7%
7	1	0.9%
8	1	0.9%
4	1	0.9%

Lowercase Letter

Value	Count	Frequency (%)
n	172	66.7%
a	86	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	258	64.0%
Common	145	36.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	67	46.2%
:	29	20.0%
1	20	13.8%
2	19	13.1%
6	3	2.1%
9	2	1.4%
5	2	1.4%
7	1	0.7%
8	1	0.7%
4	1	0.7%

Latin

Value	Count	Frequency (%)
n	172	66.7%
a	86	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	403	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	172	42.7%
a	86	21.3%
0	67	16.6%
:	29	7.2%
1	20	5.0%
2	19	4.7%
6	3	0.7%
9	2	0.5%
5	2	0.5%
7	1	0.2%
Other values (2)	2	0.5%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	19
Distinct (%)	16.5%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-24T12:00:00+00:00	33
2020-12-24T04:00:00+00:00	24
2020-12-24T06:30:00+00:00	14
2020-12-24T17:00:00+00:00	9
2020-12-24T00:00:00+00:00	8
Other values (14)	27

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2875
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	5.2%

Sample

1st row	2020-12-23T22:00:00+00:00
2nd row	2020-12-24T00:00:00+00:00
3rd row	2020-12-24T00:00:00+00:00
4th row	2020-12-24T00:00:00+00:00
5th row	2020-12-24T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-24T12:00:00+00:00	33	28.7%
2020-12-24T04:00:00+00:00	24	20.9%
2020-12-24T06:30:00+00:00	14	12.2%
2020-12-24T17:00:00+00:00	9	7.8%
2020-12-24T00:00:00+00:00	8	7.0%
2020-12-24T09:00:00+00:00	5	4.3%
2020-12-24T03:00:00+00:00	3	2.6%
2020-12-24T05:00:00+00:00	3	2.6%
2020-12-24T10:00:00+00:00	2	1.7%
2020-12-24T08:00:00+00:00	2	1.7%
Other values (9)	12	10.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-24t12:00:00+00:00	33	28.7%
2020-12-24t04:00:00+00:00	24	20.9%
2020-12-24t06:30:00+00:00	14	12.2%
2020-12-24t17:00:00+00:00	9	7.8%
2020-12-24t00:00:00+00:00	8	7.0%
2020-12-24t09:00:00+00:00	5	4.3%
2020-12-24t03:00:00+00:00	3	2.6%
2020-12-24t05:00:00+00:00	3	2.6%
2020-12-24t13:00:00+00:00	2	1.7%
2020-12-24t14:00:00+00:00	2	1.7%
Other values (9)	12	10.4%

Most occurring characters

Value	Count	Frequency (%)
0	1204	41.9%
2	498	17.3%
:	345	12.0%
-	230	8.0%
1	170	5.9%
4	141	4.9%
T	115	4.0%
+	115	4.0%
3	20	0.7%
6	14	0.5%
Other values (4)	23	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2070	72.0%
Other Punctuation	345	12.0%
Dash Punctuation	230	8.0%
Uppercase Letter	115	4.0%
Math Symbol	115	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1204	58.2%
2	498	24.1%
1	170	8.2%
4	141	6.8%
3	20	1.0%
6	14	0.7%
7	9	0.4%
9	6	0.3%
5	5	0.2%
8	3	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	345	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	230	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	115	100.0%

Math Symbol

Value	Count	Frequency (%)
+	115	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2760	96.0%
Latin	115	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1204	43.6%
2	498	18.0%
:	345	12.5%
-	230	8.3%
1	170	6.2%
4	141	5.1%
+	115	4.2%
3	20	0.7%
6	14	0.5%
7	9	0.3%
Other values (3)	14	0.5%

Latin

Value	Count	Frequency (%)
T	115	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2875	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1204	41.9%
2	498	17.3%
:	345	12.0%
-	230	8.0%
1	170	5.9%
4	141	4.9%
T	115	4.0%
+	115	4.0%
3	20	0.7%
6	14	0.5%
Other values (4)	23	0.8%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	36.9%
Missing	12
Missing (%)	10.4%
Infinite	0
Infinite (%)	0.0%
Mean	37.95145631

Minimum	4
Maximum	171
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	4
5-th percentile	10
Q1	21.5
median	42
Q3	45.5
95-th percentile	64.5
Maximum	171
Range	167
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	21.5858426
Coefficient of variation (CV)	0.56877508
Kurtosis	12.91866609
Mean	37.95145631
Median Absolute Deviation (MAD)	12
Skewness	2.196419659
Sum	3909
Variance	465.9486008
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
45	25	21.7%
50	7	6.1%
20	7	6.1%
12	6	5.2%
30	6	5.2%
60	5	4.3%
38	5	4.3%
10	3	2.6%
7	2	1.7%
23	2	1.7%
Other values (28)	35	30.4%
(Missing)	12	10.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
6	2	1.7%
7	2	1.7%
10	3	2.6%
11	1	0.9%
12	6	5.2%
17	2	1.7%
18	1	0.9%
20	7	6.1%
21	1	0.9%

Value	Count	Frequency (%)
171	1	0.9%
78	1	0.9%
77	1	0.9%
70	1	0.9%
67	1	0.9%
65	1	0.9%
60	5	4.3%
55	1	0.9%
54	2	1.7%
53	1	0.9%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	29.6%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

nan	82
<p>In this week's installment of "The Ready Room," host Wil Wheaton (Star Trek: The Next Generation) is joined by star Doug Jones (Captain Saru), who explains the intricacies of working in prosthetics and his thoughts on Saru's journey this season. Then, Janet Kidder (Osyraa) speaks with Wil about joining the Star Trek Universe's esteemed villains and the thrill of hijacking a Starfleet ship.</p>	1
<p>As Chris and Harris set out to live off the land, the Off the Cuff crew learns about a controversial mine, the history of the BWCAW and the community of Ely, MN. A Boundary Waters documentary.</p>	1
<p>Ely, MN will leave behind either a greener economy or a darker environment. Chris, Harris and the Off the Cuff crew explore a highly controversial mine, as well as attempt to complete their four day journey in the wild. A Boundary Waters documentary.</p>	1
<p>Point Roberts, WA may be sold to Canada. Chris and Harris explore a unique mapping accident and the fascinating community that came from it. A Point Roberts documentary.</p>	1
Other values (29)	29

Length

Max length	540
Median length	3
Mean length	63.99130435
Min length	3

Characters and Unicode

Total characters	7359
Distinct characters	64
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33 ?
Unique (%)	28.7%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	82	71.3%
<p>In this week's installment of "The Ready Room," host Wil Wheaton (Star Trek: The Next Generation) is joined by star Doug Jones (Captain Saru), who explains the intricacies of working in prosthetics and his thoughts on Saru's journey this season. Then, Janet Kidder (Osyraa) speaks with Wil about joining the Star Trek Universe's esteemed villains and the thrill of hijacking a Starfleet ship.</p>	1	0.9%
<p>As Chris and Harris set out to live off the land, the Off the Cuff crew learns about a controversial mine, the history of the BWCAW and the community of Ely, MN. A Boundary Waters documentary.</p>	1	0.9%
<p>Ely, MN will leave behind either a greener economy or a darker environment. Chris, Harris and the Off the Cuff crew explore a highly controversial mine, as well as attempt to complete their four day journey in the wild. A Boundary Waters documentary.</p>	1	0.9%
<p>Point Roberts, WA may be sold to Canada. Chris and Harris explore a unique mapping accident and the fascinating community that came from it. A Point Roberts documentary.</p>	1	0.9%
<p>The Nebula-75 crew are all set to make the best of a Christmas far from home, but when they cross paths with a stranded vessel a tale of treacherous trickery reveals itself...</p>	1	0.9%
<p>The events of the previous night left a sour taste in James's mouth, much to Dale's chagrin. But something's got to give.</p>	1	0.9%
<p>Ellen introduces Omar to the family. Anderson is bothered by Tina's strange posts on the internet. Lica goes back to talking to Samantha. Keyla makes a revelation to Samuel.</p>	1	0.9%
<p>Oscar has to distract Lucy while the Yetis prepare a surprise for her.</p>	1	0.9%
<p>Eminent lawyer Bikram Chandra's happy life takes a nosedive when his wife, Anuradha, stabs him. Cops are baffled with her, and finding a lawyer for her looks impossible.</p>	1	0.9%
Other values (24)	24	20.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	82	6.5%
the	79	6.3%
a	42	3.3%
to	40	3.2%
and	40	3.2%
of	27	2.1%
his	14	1.1%
in	12	1.0%
on	11	0.9%
for	10	0.8%
Other values (528)	899	71.6%

Most occurring characters

Value	Count	Frequency (%)
	1137	15.5%
e	677	9.2%
a	579	7.9%
n	550	7.5%
t	477	6.5%
s	406	5.5%
i	391	5.3%
o	333	4.5%
h	318	4.3%
r	302	4.1%
Other values (54)	2189	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5565	75.6%
Space Separator	1141	15.5%
Uppercase Letter	270	3.7%
Other Punctuation	224	3.0%
Math Symbol	144	2.0%
Dash Punctuation	7	0.1%
Close Punctuation	3	< 0.1%
Open Punctuation	3	< 0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	677	12.2%
a	579	10.4%
n	550	9.9%
t	477	8.6%
s	406	7.3%
i	391	7.0%
o	333	6.0%
h	318	5.7%
r	302	5.4%
d	189	3.4%
Other values (16)	1343	24.1%

Uppercase Letter

Value	Count	Frequency (%)
M	34	12.6%
A	20	7.4%
C	20	7.4%
B	19	7.0%
T	18	6.7%
W	16	5.9%
F	15	5.6%
S	15	5.6%
N	13	4.8%
R	13	4.8%
Other values (13)	87	32.2%

Other Punctuation

Value	Count	Frequency (%)
.	81	36.2%
,	77	34.4%
/	36	16.1%
'	21	9.4%
"	8	3.6%
:	1	0.4%

Space Separator

Value	Count	Frequency (%)
	1137	99.6%
	4	0.4%

Math Symbol

Value	Count	Frequency (%)
<	72	50.0%
>	72	50.0%

Decimal Number

Value	Count	Frequency (%)
7	1	50.0%
5	1	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5835	79.3%
Common	1524	20.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	677	11.6%
a	579	9.9%
n	550	9.4%
t	477	8.2%
s	406	7.0%
i	391	6.7%
o	333	5.7%
h	318	5.4%
r	302	5.2%
d	189	3.2%
Other values (39)	1613	27.6%

Common

Value	Count	Frequency (%)
	1137	74.6%
.	81	5.3%
,	77	5.1%
<	72	4.7%
>	72	4.7%
/	36	2.4%
'	21	1.4%
"	8	0.5%
-	7	0.5%
	4	0.3%
Other values (5)	9	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7355	99.9%
None	4	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1137	15.5%
e	677	9.2%
a	579	7.9%
n	550	7.5%
t	477	6.5%
s	406	5.5%
i	391	5.3%
o	333	4.5%
h	318	4.3%
r	302	4.1%
Other values (53)	2185	29.7%

None

Value	Count	Frequency (%)
	4	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	72
Distinct (%)	62.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47802.50435

Minimum	2504
Maximum	60848
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	2504
5-th percentile	26643
Q1	45526
median	52499
Q3	52791.5
95-th percentile	58463.6
Maximum	60848
Range	58344
Interquartile range (IQR)	7265.5

Descriptive statistics

Standard deviation	10664.77208
Coefficient of variation (CV)	0.2231006978
Kurtosis	5.62557787
Mean	47802.50435
Median Absolute Deviation (MAD)	2111
Skewness	-2.238187847
Sum	5497288
Variance	113737363.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52609	8	7.0%
52610	6	5.2%
41490	6	5.2%
52784	6	5.2%
26643	5	4.3%
53319	3	2.6%
52181	2	1.7%
49843	2	1.7%
48151	2	1.7%
55199	2	1.7%
Other values (62)	73	63.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2504	1	0.9%
6544	1	0.9%
7480	1	0.9%
16753	1	0.9%
26643	5	4.3%
28381	1	0.9%
30606	1	0.9%
35790	1	0.9%
38031	1	0.9%
39053	1	0.9%

Value	Count	Frequency (%)
60848	2	1.7%
60086	1	0.9%
59261	1	0.9%
58689	2	1.7%
58367	1	0.9%
57556	1	0.9%
56605	1	0.9%
56253	1	0.9%
55199	2	1.7%
54658	1	0.9%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	62.6%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://www.tvmaze.com/shows/52609/criminal-justice-behind-closed-doors	8
https://www.tvmaze.com/shows/52610/feluda-pherot	6
https://www.tvmaze.com/shows/41490/unique-lady	6
https://www.tvmaze.com/shows/52784/unique-lady-2	6
https://www.tvmaze.com/shows/26643/summer-camp-island	5
Other values (67)	84

Length

Max length	83
Median length	59
Mean length	50.46956522
Min length	39

Characters and Unicode

Total characters	5804
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	44.3%

Sample

1st row	https://www.tvmaze.com/shows/39115/obycnaa-zensina
2nd row	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
3rd row	https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon
4th row	https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon
5th row	https://www.tvmaze.com/shows/49280/psih

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52609/criminal-justice-behind-closed-doors	8	7.0%
https://www.tvmaze.com/shows/52610/feluda-pherot	6	5.2%
https://www.tvmaze.com/shows/41490/unique-lady	6	5.2%
https://www.tvmaze.com/shows/52784/unique-lady-2	6	5.2%
https://www.tvmaze.com/shows/26643/summer-camp-island	5	4.3%
https://www.tvmaze.com/shows/53319/off-the-cuff	3	2.6%
https://www.tvmaze.com/shows/52181/volk	2	1.7%
https://www.tvmaze.com/shows/49843/aile-sirketi	2	1.7%
https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon	2	1.7%
https://www.tvmaze.com/shows/55199/klassen	2	1.7%
Other values (62)	73	63.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52609/criminal-justice-behind-closed-doors	8	7.0%
https://www.tvmaze.com/shows/41490/unique-lady	6	5.2%
https://www.tvmaze.com/shows/52784/unique-lady-2	6	5.2%
https://www.tvmaze.com/shows/52610/feluda-pherot	6	5.2%
https://www.tvmaze.com/shows/26643/summer-camp-island	5	4.3%
https://www.tvmaze.com/shows/53319/off-the-cuff	3	2.6%
https://www.tvmaze.com/shows/52421/you-complete-me	2	1.7%
https://www.tvmaze.com/shows/52780/mermaid-prince	2	1.7%
https://www.tvmaze.com/shows/53830/witches	2	1.7%
https://www.tvmaze.com/shows/60848/blippi	2	1.7%
Other values (62)	73	63.5%

Most occurring characters

Value	Count	Frequency (%)
/	575	9.9%
w	478	8.2%
s	457	7.9%
t	441	7.6%
o	350	6.0%
e	301	5.2%
m	295	5.1%
h	274	4.7%
.	230	4.0%
a	228	3.9%
Other values (30)	2175	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4108	70.8%
Other Punctuation	920	15.9%
Decimal Number	588	10.1%
Dash Punctuation	188	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	478	11.6%
s	457	11.1%
t	441	10.7%
o	350	8.5%
e	301	7.3%
m	295	7.2%
h	274	6.7%
a	228	5.6%
c	174	4.2%
p	153	3.7%
Other values (16)	957	23.3%

Decimal Number

Value	Count	Frequency (%)
5	95	16.2%
2	76	12.9%
4	70	11.9%
6	61	10.4%
0	57	9.7%
9	56	9.5%
8	51	8.7%
1	50	8.5%
3	41	7.0%
7	31	5.3%

Other Punctuation

Value	Count	Frequency (%)
/	575	62.5%
.	230	25.0%
:	115	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4108	70.8%
Common	1696	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	478	11.6%
s	457	11.1%
t	441	10.7%
o	350	8.5%
e	301	7.3%
m	295	7.2%
h	274	6.7%
a	228	5.6%
c	174	4.2%
p	153	3.7%
Other values (16)	957	23.3%

Common

Value	Count	Frequency (%)
/	575	33.9%
.	230	13.6%
-	188	11.1%
:	115	6.8%
5	95	5.6%
2	76	4.5%
4	70	4.1%
6	61	3.6%
0	57	3.4%
9	56	3.3%
Other values (4)	173	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5804	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	575	9.9%
w	478	8.2%
s	457	7.9%
t	441	7.6%
o	350	6.0%
e	301	5.2%
m	295	5.1%
h	274	4.7%
.	230	4.0%
a	228	3.9%
Other values (30)	2175	37.5%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	62.6%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Criminal Justice: Behind Closed Doors	8
Feluda Pherot	6
Unique Lady	6
Unique Lady 2	6
Summer Camp Island	5
Other values (67)	84

Length

Max length	50
Median length	28
Mean length	15.76521739
Min length	4

Characters and Unicode

Total characters	1813
Distinct characters	108
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	44.3%

Sample

1st row	Обычная женщина
2nd row	257 причин, чтобы жить
3rd row	Смешарики. Новый сезон
4th row	Смешарики. Новый сезон
5th row	Псих

Common Values

Value	Count	Frequency (%)
Criminal Justice: Behind Closed Doors	8	7.0%
Feluda Pherot	6	5.2%
Unique Lady	6	5.2%
Unique Lady 2	6	5.2%
Summer Camp Island	5	4.3%
Off the Cuff	3	2.6%
Волк	2	1.7%
Aile Şirketi	2	1.7%
Смешарики. Новый сезон	2	1.7%
Klassen	2	1.7%
Other values (62)	73	63.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lady	12	4.0%
the	12	4.0%
unique	12	4.0%
doors	8	2.6%
criminal	8	2.6%
closed	8	2.6%
behind	8	2.6%
justice	8	2.6%
feluda	6	2.0%
pherot	6	2.0%
Other values (153)	215	71.0%

Most occurring characters

Value	Count	Frequency (%)
	188	10.4%
e	170	9.4%
i	94	5.2%
o	90	5.0%
a	89	4.9%
n	79	4.4%
r	75	4.1%
s	68	3.8%
t	67	3.7%
l	63	3.5%
Other values (98)	830	45.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1300	71.7%
Uppercase Letter	281	15.5%
Space Separator	188	10.4%
Other Punctuation	27	1.5%
Decimal Number	16	0.9%
Dash Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	170	13.1%
i	94	7.2%
o	90	6.9%
a	89	6.8%
n	79	6.1%
r	75	5.8%
s	68	5.2%
t	67	5.2%
l	63	4.8%
d	58	4.5%
Other values (48)	447	34.4%

Uppercase Letter

Value	Count	Frequency (%)
C	28	10.0%
S	27	9.6%
T	24	8.5%
L	22	7.8%
M	18	6.4%
U	16	5.7%
B	15	5.3%
P	14	5.0%
J	10	3.6%
W	10	3.6%
Other values (26)	97	34.5%

Other Punctuation

Value	Count	Frequency (%)
:	11	40.7%
'	5	18.5%
.	4	14.8%
,	3	11.1%
!	2	7.4%
?	1	3.7%
&	1	3.7%

Decimal Number

Value	Count	Frequency (%)
2	9	56.2%
0	2	12.5%
7	2	12.5%
5	2	12.5%
6	1	6.2%

Space Separator

Value	Count	Frequency (%)
	188	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1405	77.5%
Common	232	12.8%
Cyrillic	176	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	170	12.1%
i	94	6.7%
o	90	6.4%
a	89	6.3%
n	79	5.6%
r	75	5.3%
s	68	4.8%
t	67	4.8%
l	63	4.5%
d	58	4.1%
Other values (46)	552	39.3%

Cyrillic

Value	Count	Frequency (%)
о	21	11.9%
и	13	7.4%
р	12	6.8%
а	12	6.8%
н	11	6.2%
е	11	6.2%
с	8	4.5%
к	7	4.0%
ы	6	3.4%
т	5	2.8%
Other values (28)	70	39.8%

Common

Value	Count	Frequency (%)
	188	81.0%
:	11	4.7%
2	9	3.9%
'	5	2.2%
.	4	1.7%
,	3	1.3%
0	2	0.9%
7	2	0.9%
5	2	0.9%
!	2	0.9%
Other values (4)	4	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1629	89.9%
Cyrillic	176	9.7%
None	8	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	188	11.5%
e	170	10.4%
i	94	5.8%
o	90	5.5%
a	89	5.5%
n	79	4.8%
r	75	4.6%
s	68	4.2%
t	67	4.1%
l	63	3.9%
Other values (54)	646	39.7%

Cyrillic

Value	Count	Frequency (%)
о	21	11.9%
и	13	7.4%
р	12	6.8%
а	12	6.8%
н	11	6.2%
е	11	6.2%
с	8	4.5%
к	7	4.0%
ы	6	3.4%
т	5	2.8%
Other values (28)	70	39.8%

None

Value	Count	Frequency (%)
ı	2	25.0%
Ş	2	25.0%
ė	1	12.5%
Ç	1	12.5%
ğ	1	12.5%
ø	1	12.5%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Scripted	77
Animation	12
Talk Show	11
Documentary	7
Reality	4
Other values (2)	4

Length

Max length	11
Median length	8
Mean length	8.304347826
Min length	6

Characters and Unicode

Total characters	955
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	Scripted
2nd row	Scripted
3rd row	Animation
4th row	Animation
5th row	Scripted

Common Values

Value	Count	Frequency (%)
Scripted	77	67.0%
Animation	12	10.4%
Talk Show	11	9.6%
Documentary	7	6.1%
Reality	4	3.5%
Variety	3	2.6%
Sports	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	77	61.1%
animation	12	9.5%
talk	11	8.7%
show	11	8.7%
documentary	7	5.6%
reality	4	3.2%
variety	3	2.4%
sports	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
i	108	11.3%
t	104	10.9%
e	91	9.5%
S	89	9.3%
r	88	9.2%
c	84	8.8%
p	78	8.2%
d	77	8.1%
a	37	3.9%
o	31	3.2%
Other values (15)	168	17.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	818	85.7%
Uppercase Letter	126	13.2%
Space Separator	11	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	108	13.2%
t	104	12.7%
e	91	11.1%
r	88	10.8%
c	84	10.3%
p	78	9.5%
d	77	9.4%
a	37	4.5%
o	31	3.8%
n	31	3.8%
Other values (8)	89	10.9%

Uppercase Letter

Value	Count	Frequency (%)
S	89	70.6%
A	12	9.5%
T	11	8.7%
D	7	5.6%
R	4	3.2%
V	3	2.4%

Space Separator

Value	Count	Frequency (%)
	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	944	98.8%
Common	11	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	108	11.4%
t	104	11.0%
e	91	9.6%
S	89	9.4%
r	88	9.3%
c	84	8.9%
p	78	8.3%
d	77	8.2%
a	37	3.9%
o	31	3.3%
Other values (14)	157	16.6%

Common

Value	Count	Frequency (%)
	11	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	955	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	108	11.3%
t	104	10.9%
e	91	9.5%
S	89	9.3%
r	88	9.2%
c	84	8.8%
p	78	8.2%
d	77	8.1%
a	37	3.9%
o	31	3.2%
Other values (15)	168	17.6%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	15.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Chinese	32
English	23
Russian	15
Korean	8
Hindi	8
Other values (13)	29

Length

Max length	10
Median length	7
Mean length	6.72173913
Min length	3

Characters and Unicode

Total characters	773
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	3.5%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
Chinese	32	27.8%
English	23	20.0%
Russian	15	13.0%
Korean	8	7.0%
Hindi	8	7.0%
Bengali	6	5.2%
Norwegian	3	2.6%
Swedish	3	2.6%
Turkish	3	2.6%
nan	2	1.7%
Other values (8)	12	10.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	32	27.8%
english	23	20.0%
russian	15	13.0%
korean	8	7.0%
hindi	8	7.0%
bengali	6	5.2%
norwegian	3	2.6%
swedish	3	2.6%
turkish	3	2.6%
arabic	2	1.7%
Other values (8)	12	10.4%

Most occurring characters

Value	Count	Frequency (%)
i	109	14.1%
n	103	13.3%
s	92	11.9%
e	86	11.1%
h	66	8.5%
a	48	6.2%
g	37	4.8%
C	32	4.1%
l	32	4.1%
E	23	3.0%
Other values (23)	145	18.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	660	85.4%
Uppercase Letter	113	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	109	16.5%
n	103	15.6%
s	92	13.9%
e	86	13.0%
h	66	10.0%
a	48	7.3%
g	37	5.6%
l	32	4.8%
u	23	3.5%
r	18	2.7%
Other values (8)	46	7.0%

Uppercase Letter

Value	Count	Frequency (%)
C	32	28.3%
E	23	20.4%
R	15	13.3%
H	8	7.1%
K	8	7.1%
T	7	6.2%
B	6	5.3%
N	3	2.7%
S	3	2.7%
D	2	1.8%
Other values (5)	6	5.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	773	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	109	14.1%
n	103	13.3%
s	92	11.9%
e	86	11.1%
h	66	8.5%
a	48	6.2%
g	37	4.8%
C	32	4.1%
l	32	4.1%
E	23	3.0%
Other values (23)	145	18.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	773	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	109	14.1%
n	103	13.3%
s	92	11.9%
e	86	11.1%
h	66	8.5%
a	48	6.2%
g	37	4.8%
C	32	4.1%
l	32	4.1%
E	23	3.0%
Other values (23)	145	18.8%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	27.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

[]	19
['Drama', 'Romance']	12
['Comedy']	8
['Crime']	8
['Comedy', 'Fantasy', 'Romance']	8
Other values (26)	60

Length

Max length	42
Median length	35
Mean length	19.60869565
Min length	2

Characters and Unicode

Total characters	2255
Distinct characters	32
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	10.4%

Sample

1st row	['Drama', 'Crime', 'Mystery']
2nd row	['Drama', 'Comedy']
3rd row	['Comedy', 'Family']
4th row	['Comedy', 'Family']
5th row	['Drama', 'Thriller']

Common Values

Value	Count	Frequency (%)
[]	19	16.5%
['Drama', 'Romance']	12	10.4%
['Comedy']	8	7.0%
['Crime']	8	7.0%
['Comedy', 'Fantasy', 'Romance']	8	7.0%
['Drama', 'Comedy', 'Romance']	7	6.1%
['Drama', 'Thriller', 'Mystery']	6	5.2%
['Comedy', 'Adventure', 'Fantasy']	5	4.3%
['Sports']	4	3.5%
['Drama', 'Action', 'Crime']	4	3.5%
Other values (21)	34	29.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	49	21.2%
comedy	38	16.5%
romance	31	13.4%
	19	8.2%
crime	15	6.5%
fantasy	15	6.5%
adventure	11	4.8%
mystery	11	4.8%
action	7	3.0%
thriller	7	3.0%
Other values (10)	28	12.1%

Most occurring characters

Value	Count	Frequency (%)
'	424	18.8%
a	168	7.5%
e	142	6.3%
m	139	6.2%
r	120	5.3%
,	116	5.1%
	116	5.1%
[	115	5.1%
]	115	5.1%
o	93	4.1%
Other values (22)	707	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1149	51.0%
Other Punctuation	540	23.9%
Uppercase Letter	216	9.6%
Space Separator	116	5.1%
Open Punctuation	115	5.1%
Close Punctuation	115	5.1%
Dash Punctuation	4	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	168	14.6%
e	142	12.4%
m	139	12.1%
r	120	10.4%
o	93	8.1%
n	82	7.1%
y	81	7.0%
t	58	5.0%
d	55	4.8%
i	55	4.8%
Other values (7)	156	13.6%

Uppercase Letter

Value	Count	Frequency (%)
C	57	26.4%
D	49	22.7%
R	31	14.4%
F	24	11.1%
A	21	9.7%
M	12	5.6%
S	11	5.1%
T	7	3.2%
H	4	1.9%

Other Punctuation

Value	Count	Frequency (%)
'	424	78.5%
,	116	21.5%

Space Separator

Value	Count	Frequency (%)
	116	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	115	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	115	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1365	60.5%
Common	890	39.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	168	12.3%
e	142	10.4%
m	139	10.2%
r	120	8.8%
o	93	6.8%
n	82	6.0%
y	81	5.9%
t	58	4.2%
C	57	4.2%
d	55	4.0%
Other values (16)	370	27.1%

Common

Value	Count	Frequency (%)
'	424	47.6%
,	116	13.0%
	116	13.0%
[	115	12.9%
]	115	12.9%
-	4	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2255	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	424	18.8%
a	168	7.5%
e	142	6.3%
m	139	6.2%
r	120	5.3%
,	116	5.1%
	116	5.1%
[	115	5.1%
]	115	5.1%
o	93	4.1%
Other values (22)	707	31.4%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Running	55
Ended	50
To Be Determined	10

Length

Max length	16
Median length	7
Mean length	6.913043478
Min length	5

Characters and Unicode

Total characters	795
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Ended
3rd row	Running
4th row	Running
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	55	47.8%
Ended	50	43.5%
To Be Determined	10	8.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	55	40.7%
ended	50	37.0%
to	10	7.4%
be	10	7.4%
determined	10	7.4%

Most occurring characters

Value	Count	Frequency (%)
n	225	28.3%
d	110	13.8%
e	90	11.3%
i	65	8.2%
R	55	6.9%
u	55	6.9%
g	55	6.9%
E	50	6.3%
	20	2.5%
T	10	1.3%
Other values (6)	60	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	640	80.5%
Uppercase Letter	135	17.0%
Space Separator	20	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	225	35.2%
d	110	17.2%
e	90	14.1%
i	65	10.2%
u	55	8.6%
g	55	8.6%
o	10	1.6%
t	10	1.6%
r	10	1.6%
m	10	1.6%

Uppercase Letter

Value	Count	Frequency (%)
R	55	40.7%
E	50	37.0%
T	10	7.4%
B	10	7.4%
D	10	7.4%

Space Separator

Value	Count	Frequency (%)
	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	775	97.5%
Common	20	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	225	29.0%
d	110	14.2%
e	90	11.6%
i	65	8.4%
R	55	7.1%
u	55	7.1%
g	55	7.1%
E	50	6.5%
T	10	1.3%
o	10	1.3%
Other values (5)	50	6.5%

Common

Value	Count	Frequency (%)
	20	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	795	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	225	28.3%
d	110	13.8%
e	90	11.3%
i	65	8.2%
R	55	6.9%
u	55	6.9%
g	55	6.9%
E	50	6.3%
	20	2.5%
T	10	1.3%
Other values (6)	60	7.5%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	27.3%
Missing	38
Missing (%)	33.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.64935065

Minimum	4
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	4
5-th percentile	9.6
Q1	22
median	45
Q3	45
95-th percentile	60
Maximum	62
Range	58
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	15.43301846
Coefficient of variation (CV)	0.4210993697
Kurtosis	-0.7738679664
Mean	36.64935065
Median Absolute Deviation (MAD)	7
Skewness	-0.4499650578
Sum	2822
Variance	238.1780588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
45	28	24.3%
20	8	7.0%
38	6	5.2%
60	6	5.2%
30	5	4.3%
10	4	3.5%
25	2	1.7%
50	2	1.7%
22	2	1.7%
51	2	1.7%
Other values (11)	12	10.4%
(Missing)	38	33.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
7	2	1.7%
8	1	0.9%
10	4	3.5%
13	1	0.9%
18	1	0.9%
20	8	7.0%
22	2	1.7%
23	1	0.9%
25	2	1.7%

Value	Count	Frequency (%)
62	1	0.9%
60	6	5.2%
58	1	0.9%
53	1	0.9%
51	2	1.7%
50	2	1.7%
45	28	24.3%
40	1	0.9%
38	6	5.2%
35	1	0.9%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	39
Distinct (%)	37.1%
Missing	10
Missing (%)	8.7%
Infinite	0
Infinite (%)	0.0%
Mean	35.9047619

Minimum	2
Maximum	77
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	2
5-th percentile	9.2
Q1	21
median	42
Q3	45
95-th percentile	60
Maximum	77
Range	75
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	17.39336954
Coefficient of variation (CV)	0.4844307167
Kurtosis	-0.8270300923
Mean	35.9047619
Median Absolute Deviation (MAD)	12
Skewness	-0.1550161109
Sum	3770
Variance	302.529304
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
45	26	22.6%
50	10	8.7%
42	6	5.2%
10	5	4.3%
60	5	4.3%
11	5	4.3%
30	4	3.5%
20	4	3.5%
57	3	2.6%
21	3	2.6%
Other values (29)	34	29.6%
(Missing)	10	8.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
4	1	0.9%
7	2	1.7%
8	1	0.9%
9	1	0.9%
10	5	4.3%
11	5	4.3%
12	1	0.9%
13	1	0.9%
14	1	0.9%

Value	Count	Frequency (%)
77	1	0.9%
76	1	0.9%
63	1	0.9%
62	1	0.9%
60	5	4.3%
57	3	2.6%
56	1	0.9%
53	1	0.9%
50	10	8.7%
48	1	0.9%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	54
Distinct (%)	47.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-24	24
2019-01-17	6
2018-07-07	5
2020-12-10	5
2020-12-17	5
Other values (49)	70

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1150
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	29.6%

Sample

1st row	2018-10-29
2nd row	2020-03-26
3rd row	2020-05-18
4th row	2020-05-18
5th row	2020-11-05

Common Values

Value	Count	Frequency (%)
2020-12-24	24	20.9%
2019-01-17	6	5.2%
2018-07-07	5	4.3%
2020-12-10	5	4.3%
2020-12-17	5	4.3%
2020-12-03	3	2.6%
2019-04-30	3	2.6%
2020-08-06	3	2.6%
2020-11-12	3	2.6%
2020-11-26	3	2.6%
Other values (44)	55	47.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-24	24	20.9%
2019-01-17	6	5.2%
2018-07-07	5	4.3%
2020-12-10	5	4.3%
2020-12-17	5	4.3%
2020-12-03	3	2.6%
2019-04-30	3	2.6%
2020-08-06	3	2.6%
2020-11-12	3	2.6%
2020-11-26	3	2.6%
Other values (44)	55	47.8%

Most occurring characters

Value	Count	Frequency (%)
2	290	25.2%
0	282	24.5%
-	230	20.0%
1	185	16.1%
4	36	3.1%
7	30	2.6%
9	26	2.3%
8	23	2.0%
3	21	1.8%
6	18	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	920	80.0%
Dash Punctuation	230	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	290	31.5%
0	282	30.7%
1	185	20.1%
4	36	3.9%
7	30	3.3%
9	26	2.8%
8	23	2.5%
3	21	2.3%
6	18	2.0%
5	9	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	230	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1150	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	290	25.2%
0	282	24.5%
-	230	20.0%
1	185	16.1%
4	36	3.1%
7	30	2.6%
9	26	2.3%
8	23	2.0%
3	21	1.8%
6	18	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	290	25.2%
0	282	24.5%
-	230	20.0%
1	185	16.1%
4	36	3.1%
7	30	2.6%
9	26	2.3%
8	23	2.0%
3	21	1.8%
6	18	1.6%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	23
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

nan	65
2020-12-24	13
2021-01-07	7
2021-01-14	4
2020-12-28	2
Other values (18)	24

Length

Max length	10
Median length	3
Mean length	6.043478261
Min length	3

Characters and Unicode

Total characters	695
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	10.4%

Sample

1st row	2021-01-07
2nd row	2021-01-21
3rd row	nan
4th row	nan
5th row	2020-12-24

Common Values

Value	Count	Frequency (%)
nan	65	56.5%
2020-12-24	13	11.3%
2021-01-07	7	6.1%
2021-01-14	4	3.5%
2020-12-28	2	1.7%
2021-01-04	2	1.7%
2021-01-28	2	1.7%
2021-01-02	2	1.7%
2020-12-30	2	1.7%
2021-10-07	2	1.7%
Other values (13)	14	12.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	65	56.5%
2020-12-24	13	11.3%
2021-01-07	7	6.1%
2021-01-14	4	3.5%
2020-12-28	2	1.7%
2021-01-04	2	1.7%
2021-01-28	2	1.7%
2021-01-02	2	1.7%
2020-12-30	2	1.7%
2021-10-07	2	1.7%
Other values (13)	14	12.2%

Most occurring characters

Value	Count	Frequency (%)
2	150	21.6%
n	130	18.7%
0	117	16.8%
-	100	14.4%
1	87	12.5%
a	65	9.4%
4	20	2.9%
7	12	1.7%
8	5	0.7%
6	4	0.6%
Other values (2)	5	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	400	57.6%
Lowercase Letter	195	28.1%
Dash Punctuation	100	14.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	150	37.5%
0	117	29.2%
1	87	21.8%
4	20	5.0%
7	12	3.0%
8	5	1.2%
6	4	1.0%
3	3	0.8%
5	2	0.5%

Lowercase Letter

Value	Count	Frequency (%)
n	130	66.7%
a	65	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	500	71.9%
Latin	195	28.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	150	30.0%
0	117	23.4%
-	100	20.0%
1	87	17.4%
4	20	4.0%
7	12	2.4%
8	5	1.0%
6	4	0.8%
3	3	0.6%
5	2	0.4%

Latin

Value	Count	Frequency (%)
n	130	66.7%
a	65	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	695	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	150	21.6%
n	130	18.7%
0	117	16.8%
-	100	14.4%
1	87	12.5%
a	65	9.4%
4	20	2.9%
7	12	1.7%
8	5	0.7%
6	4	0.6%
Other values (2)	5	0.7%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	63
Distinct (%)	54.8%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

nan	20
https://www.hotstar.com/in/tv/criminal-justice-behind-closed-doors/1260049386	8
http://www.iqiyi.com/a_19rrhvpyyp.html	6
https://www.addatimes.com/show/feluda-pherot-web-series	6
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	5
Other values (58)	70

Length

Max length	250
Median length	68
Mean length	45.84347826
Min length	3

Characters and Unicode

Total characters	5272
Distinct characters	75
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	40.9%

Sample

1st row	https://premier.one/show/8405
2nd row	https://start.ru/watch/257-prichin-chtoby-zhit
3rd row	https://www.kinopoisk.ru/series/1379016/
4th row	https://www.kinopoisk.ru/series/1379016/
5th row	https://more.tv/psih

Common Values

Value	Count	Frequency (%)
nan	20	17.4%
https://www.hotstar.com/in/tv/criminal-justice-behind-closed-doors/1260049386	8	7.0%
http://www.iqiyi.com/a_19rrhvpyyp.html	6	5.2%
https://www.addatimes.com/show/feluda-pherot-web-series	6	5.2%
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	5	4.3%
https://www.amazon.com/Off-the-Cuf/dp/B07R6PKR45	3	2.6%
https://premier.one/show/12339	2	1.7%
https://start.ru/watch/passazhiry	2	1.7%
https://www.wavve.com/player/vod?programid=C9901_C99000000047&page=1	2	1.7%
https://www.beinconnect.com.tr/diziler/aile-sirketi	2	1.7%
Other values (53)	59	51.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	20	17.4%
https://www.hotstar.com/in/tv/criminal-justice-behind-closed-doors/1260049386	8	7.0%
http://www.iqiyi.com/a_19rrhvpyyp.html	6	5.2%
https://www.addatimes.com/show/feluda-pherot-web-series	6	5.2%
https://play.hbomax.com/series/urn:hbo:series:gxkydlageby7czgeaacho	5	4.3%
https://www.amazon.com/off-the-cuf/dp/b07r6pkr45	3	2.6%
https://www.kinopoisk.ru/series/1379016	2	1.7%
https://www.iqiyi.com/lib/m_213579814.html	2	1.7%
https://www.svtplay.se/video/31148826/klassen	2	1.7%
https://so.youku.com/search_video/q_%e9%a2%84%e6%94%af%e6%9c%aa%e6%9d%a5?spm=a2hbt.13141534.left-title-content-wrap.5~a	2	1.7%
Other values (53)	59	51.3%

Most occurring characters

Value	Count	Frequency (%)
/	401	7.6%
t	364	6.9%
s	281	5.3%
w	246	4.7%
e	235	4.5%
o	223	4.2%
h	208	3.9%
i	203	3.9%
.	202	3.8%
p	180	3.4%
Other values (65)	2729	51.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3413	64.7%
Other Punctuation	792	15.0%
Decimal Number	539	10.2%
Uppercase Letter	388	7.4%
Dash Punctuation	96	1.8%
Connector Punctuation	23	0.4%
Math Symbol	21	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	364	10.7%
s	281	8.2%
w	246	7.2%
e	235	6.9%
o	223	6.5%
h	208	6.1%
i	203	5.9%
p	180	5.3%
a	179	5.2%
r	149	4.4%
Other values (16)	1145	33.5%

Uppercase Letter

Value	Count	Frequency (%)
A	38	9.8%
C	35	9.0%
P	25	6.4%
E	23	5.9%
B	21	5.4%
L	20	5.2%
O	19	4.9%
D	18	4.6%
Z	16	4.1%
R	15	3.9%
Other values (16)	158	40.7%

Decimal Number

Value	Count	Frequency (%)
1	82	15.2%
0	65	12.1%
6	60	11.1%
9	59	10.9%
4	56	10.4%
3	49	9.1%
8	45	8.3%
5	43	8.0%
2	43	8.0%
7	37	6.9%

Other Punctuation

Value	Count	Frequency (%)
/	401	50.6%
.	202	25.5%
:	131	16.5%
%	39	4.9%
?	14	1.8%
&	3	0.4%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	17	81.0%
~	2	9.5%
+	2	9.5%

Dash Punctuation

Value	Count	Frequency (%)
-	96	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3801	72.1%
Common	1471	27.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	364	9.6%
s	281	7.4%
w	246	6.5%
e	235	6.2%
o	223	5.9%
h	208	5.5%
i	203	5.3%
p	180	4.7%
a	179	4.7%
r	149	3.9%
Other values (42)	1533	40.3%

Common

Value	Count	Frequency (%)
/	401	27.3%
.	202	13.7%
:	131	8.9%
-	96	6.5%
1	82	5.6%
0	65	4.4%
6	60	4.1%
9	59	4.0%
4	56	3.8%
3	49	3.3%
Other values (13)	270	18.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5272	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	401	7.6%
t	364	6.9%
s	281	5.3%
w	246	4.7%
e	235	4.5%
o	223	4.2%
h	208	3.9%
i	203	3.9%
.	202	3.8%
p	180	3.4%
Other values (65)	2729	51.8%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	40.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.29565217

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	15
median	33
Q3	66.5
95-th percentile	84
Maximum	100
Range	99
Interquartile range (IQR)	51.5

Descriptive statistics

Standard deviation	27.59639371
Coefficient of variation (CV)	0.7206142772
Kurtosis	-1.063309843
Mean	38.29565217
Median Absolute Deviation (MAD)	19
Skewness	0.501183306
Sum	4404
Variance	761.5609458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
14	12	10.4%
79	8	7.0%
3	7	6.1%
17	7	6.1%
68	6	5.2%
34	5	4.3%
18	5	4.3%
42	4	3.5%
38	3	2.6%
29	3	2.6%
Other values (37)	55	47.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	1.7%
2	1	0.9%
3	7	6.1%
6	2	1.7%
7	1	0.9%
8	2	1.7%
10	1	0.9%
14	12	10.4%
15	3	2.6%
17	7	6.1%

Value	Count	Frequency (%)
100	1	0.9%
94	1	0.9%
93	1	0.9%
90	1	0.9%
87	1	0.9%
84	3	2.6%
79	8	7.0%
77	1	0.9%
75	1	0.9%
73	1	0.9%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

nan	114
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1

Length

Max length	70
Median length	3
Mean length	3.582608696
Min length	3

Characters and Unicode

Total characters	412
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	114	99.1%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	114	93.4%
name	1	0.8%
korea	1	0.8%
republic	1	0.8%
of	1	0.8%
code	1	0.8%
kr	1	0.8%
timezone	1	0.8%
asia/seoul	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
n	230	55.8%
a	117	28.4%
'	12	2.9%
e	7	1.7%
	7	1.7%
o	5	1.2%
i	3	0.7%
:	3	0.7%
,	3	0.7%
R	2	0.5%
Other values (18)	23	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	378	91.7%
Other Punctuation	19	4.6%
Space Separator	7	1.7%
Uppercase Letter	6	1.5%
Open Punctuation	1	0.2%
Close Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	230	60.8%
a	117	31.0%
e	7	1.9%
o	5	1.3%
i	3	0.8%
c	2	0.5%
l	2	0.5%
u	2	0.5%
m	2	0.5%
p	1	0.3%
Other values (7)	7	1.9%

Other Punctuation

Value	Count	Frequency (%)
'	12	63.2%
:	3	15.8%
,	3	15.8%
/	1	5.3%

Uppercase Letter

Value	Count	Frequency (%)
R	2	33.3%
K	2	33.3%
A	1	16.7%
S	1	16.7%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	384	93.2%
Common	28	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	230	59.9%
a	117	30.5%
e	7	1.8%
o	5	1.3%
i	3	0.8%
R	2	0.5%
c	2	0.5%
l	2	0.5%
u	2	0.5%
K	2	0.5%
Other values (11)	12	3.1%

Common

Value	Count	Frequency (%)
'	12	42.9%
	7	25.0%
:	3	10.7%
,	3	10.7%
{	1	3.6%
/	1	3.6%
}	1	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	412	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	230	55.8%
a	117	28.4%
'	12	2.9%
e	7	1.7%
	7	1.7%
o	5	1.2%
i	3	0.7%
:	3	0.7%
,	3	0.7%
R	2	0.5%
Other values (18)	23	5.6%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	65
Distinct (%)	56.5%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

nan	10
<p>Anuradha Chandra stabs her perfect lawyer husband one fateful night and confesses to her crime. However, it is anything but an open-and-shut case.</p>	8
<p><b>Feluda Pherot</b> is the return of the iconic Feluda, Asia's Brightest Crime Detector, along with his comrades Jatayu and Topshe, unraveling more mysteries.</p>	6
<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	6
<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	6
Other values (60)	79

Length

Max length	1261
Median length	556
Mean length	359.5391304
Min length	3

Characters and Unicode

Total characters	41347
Distinct characters	91
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	39.1%

Sample

1st row	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
2nd row	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
3rd row	<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>
4th row	<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>
5th row	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>

Common Values

Value	Count	Frequency (%)
nan	10	8.7%
<p>Anuradha Chandra stabs her perfect lawyer husband one fateful night and confesses to her crime. However, it is anything but an open-and-shut case.</p>	8	7.0%
<p><b>Feluda Pherot</b> is the return of the iconic Feluda, Asia's Brightest Crime Detector, along with his comrades Jatayu and Topshe, unraveling more mysteries.</p>	6	5.2%
<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	6	5.2%
<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	6	5.2%
<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	5	4.3%
<p><b>Off the Cuff </b>explores the world's most unique, exciting, and often misrepresented communities.</p>	3	2.6%
<p>Yoon Bo Mi of Apink Comedian Kim Min Kyoung, the former rhythmic gymnast Shin Soo Ji, Cheerleader Park Ki Ryang, Anchorwoman Park Ji Young, and Actress Kang So Yeon are huge fans of baseball. They come together to actually try playing baseball themselves instead of just watching it. Although they all work in different industries, they unite thanks to their mutual love of the sport. Together, they strive to compete against other amateur teams. Will their earnest desire to work together and their ambition to win make all the difference? How will they grow together as a team?</p>	2	1.7%
<p>As a flower girl, Su Xiao Wan never really imagined her simple life would ever be anything other than ordinary. But when an accidental mixup lands her in a sibling contract with Gu Yan Xi, the young master of the well-known Gu family, her simple life is flipped upside down. Now obligated to play the part of Gu Yan Xi's younger sister, Xiao Wan finds herself tangled in the affairs of one of the most prominent business families in the land. Constantly hounded by Yang Xi's sharp tongue and ceaseless schemes, Xiao Wan is forced to rely on her quick wit and sly tricks, in order to survive. Never allowed a moment's peace, Xiao Wan can only find respite while in the company of Gu Zi Qian, the family's second master. A warm and caring young man, Zi Qian takes it upon himself to look after Xiao Wan, shielding her, whenever possible, from the constant pestering of his older brother. Unfortunately for Xiao Wan, Zi Qian's kindness is fueled by his own secret ambitions. Soon trapped in a complicated relationship with both Yang Xi and Zi Qian, Xiao Wan struggles to find a way out. As her head tells her to go one way, her heart tells her to go another; leaving Xiao Wan to wonder, which brother will ultimately help her find the happiness she desires?</p>	2	1.7%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	1.7%
Other values (55)	65	56.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	360	5.2%
and	259	3.7%
a	197	2.8%
of	197	2.8%
to	197	2.8%
in	116	1.7%
her	101	1.4%
is	86	1.2%
with	83	1.2%
she	67	1.0%
Other values (1680)	5317	76.2%

Most occurring characters

Value	Count	Frequency (%)
	6856	16.6%
e	3827	9.3%
a	2662	6.4%
t	2551	6.2%
n	2518	6.1%
o	2317	5.6%
i	2266	5.5%
s	2058	5.0%
r	2028	4.9%
h	1751	4.2%
Other values (81)	12513	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31283	75.7%
Space Separator	6866	16.6%
Uppercase Letter	1310	3.2%
Other Punctuation	1111	2.7%
Math Symbol	624	1.5%
Dash Punctuation	77	0.2%
Decimal Number	47	0.1%
Format	16	< 0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3827	12.2%
a	2662	8.5%
t	2551	8.2%
n	2518	8.0%
o	2317	7.4%
i	2266	7.2%
s	2058	6.6%
r	2028	6.5%
h	1751	5.6%
l	1230	3.9%
Other values (23)	8075	25.8%

Uppercase Letter

Value	Count	Frequency (%)
T	133	10.2%
S	114	8.7%
W	93	7.1%
L	82	6.3%
A	80	6.1%
X	75	5.7%
M	68	5.2%
C	60	4.6%
B	56	4.3%
H	53	4.0%
Other values (16)	496	37.9%

Other Punctuation

Value	Count	Frequency (%)
,	441	39.7%
.	330	29.7%
/	162	14.6%
'	79	7.1%
"	38	3.4%
:	21	1.9%
?	17	1.5%
!	13	1.2%
;	7	0.6%
%	1	0.1%
Other values (2)	2	0.2%

Decimal Number

Value	Count	Frequency (%)
0	14	29.8%
2	6	12.8%
1	6	12.8%
5	5	10.6%
4	4	8.5%
6	3	6.4%
3	3	6.4%
8	2	4.3%
9	2	4.3%
7	2	4.3%

Space Separator

Value	Count	Frequency (%)
	6856	99.9%
	10	0.1%

Math Symbol

Value	Count	Frequency (%)
>	312	50.0%
<	312	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	68	88.3%
—	9	11.7%

Format

Value	Count	Frequency (%)
‎	16	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32593	78.8%
Common	8754	21.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3827	11.7%
a	2662	8.2%
t	2551	7.8%
n	2518	7.7%
o	2317	7.1%
i	2266	7.0%
s	2058	6.3%
r	2028	6.2%
h	1751	5.4%
l	1230	3.8%
Other values (49)	9385	28.8%

Common

Value	Count	Frequency (%)
	6856	78.3%
,	441	5.0%
.	330	3.8%
>	312	3.6%
<	312	3.6%
/	162	1.9%
'	79	0.9%
-	68	0.8%
"	38	0.4%
:	21	0.2%
Other values (22)	135	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41304	99.9%
Punctuation	25	0.1%
None	18	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6856	16.6%
e	3827	9.3%
a	2662	6.4%
t	2551	6.2%
n	2518	6.1%
o	2317	5.6%
i	2266	5.5%
s	2058	5.0%
r	2028	4.9%
h	1751	4.2%
Other values (71)	12470	30.2%

Punctuation

Value	Count	Frequency (%)
‎	16	64.0%
—	9	36.0%

None

Value	Count	Frequency (%)
	10	55.6%
č	2	11.1%
ê	1	5.6%
ã	1	5.6%
ė	1	5.6%
ö	1	5.6%
ū	1	5.6%
å	1	5.6%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	62.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1632329541

Minimum	1607964656
Maximum	1652016543
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1607964656
5-th percentile	1608845017
Q1	1610509070
median	1640018366
Q3	1648217029
95-th percentile	1651947649
Maximum	1652016543
Range	44051887
Interquartile range (IQR)	37707958.5

Descriptive statistics

Standard deviation	17347919.91
Coefficient of variation (CV)	0.01062770689
Kurtosis	-1.640957974
Mean	1632329541
Median Absolute Deviation (MAD)	11820281
Skewness	-0.3445991628
Sum	1.877178972 × 10¹¹
Variance	3.009503251 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1608845017	8	7.0%
1608849221	6	5.2%
1651863266	6	5.2%
1609651676	6	5.2%
1639300202	5	4.3%
1641048958	3	2.6%
1640435531	2	1.7%
1640789040	2	1.7%
1646904606	2	1.7%
1640018366	2	1.7%
Other values (62)	73	63.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1607964656	1	0.9%
1608845017	8	7.0%
1608849221	6	5.2%
1609616788	1	0.9%
1609648885	2	1.7%
1609651676	6	5.2%
1609784749	2	1.7%
1609799896	2	1.7%
1610110841	1	0.9%
1610907300	1	0.9%

Value	Count	Frequency (%)
1652016543	1	0.9%
1652004759	1	0.9%
1652004050	1	0.9%
1651990755	2	1.7%
1651981343	1	0.9%
1651933209	1	0.9%
1651863266	6	5.2%
1651838647	1	0.9%
1651763849	1	0.9%
1651749165	1	0.9%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	115
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2005420	1
https://api.tvmaze.com/episodes/2050241	1
https://api.tvmaze.com/episodes/1950703	1
https://api.tvmaze.com/episodes/1996689	1
Other values (110)	110

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4485
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	115 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2005420	1	0.9%
https://api.tvmaze.com/episodes/2050241	1	0.9%
https://api.tvmaze.com/episodes/1950703	1	0.9%
https://api.tvmaze.com/episodes/1996689	1	0.9%
https://api.tvmaze.com/episodes/2042003	1	0.9%
https://api.tvmaze.com/episodes/1996399	1	0.9%
https://api.tvmaze.com/episodes/1955318	1	0.9%
https://api.tvmaze.com/episodes/1996786	1	0.9%
https://api.tvmaze.com/episodes/1949336	1	0.9%
Other values (105)	105	91.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2090655	1	0.9%
https://api.tvmaze.com/episodes/1964000	1	0.9%
https://api.tvmaze.com/episodes/1995405	1	0.9%
https://api.tvmaze.com/episodes/2007760	1	0.9%
https://api.tvmaze.com/episodes/1985789	1	0.9%
https://api.tvmaze.com/episodes/2039622	1	0.9%
https://api.tvmaze.com/episodes/2039623	1	0.9%
https://api.tvmaze.com/episodes/2324427	1	0.9%
https://api.tvmaze.com/episodes/2324428	1	0.9%
Other values (105)	105	91.3%

Most occurring characters

Value	Count	Frequency (%)
/	460	10.3%
p	345	7.7%
s	345	7.7%
e	345	7.7%
t	345	7.7%
o	230	5.1%
a	230	5.1%
i	230	5.1%
.	230	5.1%
m	230	5.1%
Other values (16)	1495	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2875	64.1%
Other Punctuation	805	17.9%
Decimal Number	805	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	345	12.0%
s	345	12.0%
e	345	12.0%
t	345	12.0%
o	230	8.0%
a	230	8.0%
i	230	8.0%
m	230	8.0%
h	115	4.0%
d	115	4.0%
Other values (3)	345	12.0%

Decimal Number

Value	Count	Frequency (%)
9	124	15.4%
2	121	15.0%
0	103	12.8%
1	101	12.5%
3	70	8.7%
8	67	8.3%
6	65	8.1%
7	55	6.8%
4	53	6.6%
5	46	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	460	57.1%
.	230	28.6%
:	115	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2875	64.1%
Common	1610	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	460	28.6%
.	230	14.3%
9	124	7.7%
2	121	7.5%
:	115	7.1%
0	103	6.4%
1	101	6.3%
3	70	4.3%
8	67	4.2%
6	65	4.0%
Other values (3)	154	9.6%

Latin

Value	Count	Frequency (%)
p	345	12.0%
s	345	12.0%
e	345	12.0%
t	345	12.0%
o	230	8.0%
a	230	8.0%
i	230	8.0%
m	230	8.0%
h	115	4.0%
d	115	4.0%
Other values (3)	345	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4485	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	460	10.3%
p	345	7.7%
s	345	7.7%
e	345	7.7%
t	345	7.7%
o	230	5.1%
a	230	5.1%
i	230	5.1%
.	230	5.1%
m	230	5.1%
Other values (16)	1495	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1977900	https://www.tvmaze.com/episodes/1977900/obycnaa-zensina-2x04-seria-13	Серия 13	2.0	4.0	regular	2020-12-24	10:00	2020-12-23T22:00:00+00:00	54.0	nan	39115	https://www.tvmaze.com/shows/39115/obycnaa-zensina	Обычная женщина	Scripted	Russian	['Drama', 'Crime', 'Mystery']	Ended	50.0	48.0	2018-10-29	2021-01-07	https://premier.one/show/8405	36.0	nan	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>	1.610111e+09	https://api.tvmaze.com/episodes/1977902
1	1963999	https://www.tvmaze.com/episodes/1963999/257-pricin-ctoby-zit-2x09-seria-22	Серия 22	2.0	9.0	regular	2020-12-24	nan	2020-12-24T00:00:00+00:00	25.0	nan	43722	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit	257 причин, чтобы жить	Scripted	Russian	['Drama', 'Comedy']	Ended	25.0	24.0	2020-03-26	2021-01-21	https://start.ru/watch/257-prichin-chtoby-zhit	38.0	nan	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>	1.617284e+09	https://api.tvmaze.com/episodes/2015818
2	1949912	https://www.tvmaze.com/episodes/1949912/smesariki-novyj-sezon-1x33-zagvozdka	Загвоздка	1.0	33.0	regular	2020-12-24	nan	2020-12-24T00:00:00+00:00	6.0	nan	48151	https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon	Смешарики. Новый сезон	Animation	Russian	['Comedy', 'Family']	Running	7.0	7.0	2020-05-18	nan	https://www.kinopoisk.ru/series/1379016/	79.0	nan	<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>	1.646905e+09	https://api.tvmaze.com/episodes/1964000
3	1949913	https://www.tvmaze.com/episodes/1949913/smesariki-novyj-sezon-1x34-starinnyj-novogodnij-obycaj	Старинный новогодний обычай	1.0	34.0	regular	2020-12-24	nan	2020-12-24T00:00:00+00:00	6.0	nan	48151	https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon	Смешарики. Новый сезон	Animation	Russian	['Comedy', 'Family']	Running	7.0	7.0	2020-05-18	nan	https://www.kinopoisk.ru/series/1379016/	79.0	nan	<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>	1.646905e+09	https://api.tvmaze.com/episodes/1995405
4	1960733	https://www.tvmaze.com/episodes/1960733/psih-1x08-vozrozdenie	Возрождение	1.0	8.0	regular	2020-12-24	12:00	2020-12-24T00:00:00+00:00	70.0	nan	49280	https://www.tvmaze.com/shows/49280/psih	Псих	Scripted	Russian	['Drama', 'Thriller']	Ended	62.0	62.0	2020-11-05	2020-12-24	https://more.tv/psih	29.0	nan	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>	1.619195e+09	https://api.tvmaze.com/episodes/2007760
5	1982409	https://www.tvmaze.com/episodes/1982409/volk-1x11-seria-11	Серия 11	1.0	11.0	regular	2020-12-24	nan	2020-12-24T00:00:00+00:00	51.0	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/1985789
6	1982410	https://www.tvmaze.com/episodes/1982410/volk-1x12-seria-12	Серия 12	1.0	12.0	regular	2020-12-24	nan	2020-12-24T00:00:00+00:00	51.0	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/2039622
7	1987502	https://www.tvmaze.com/episodes/1987502/passaziry-1x01-svetlana-i-igor	Светлана и Игорь	1.0	1.0	regular	2020-12-24	nan	2020-12-24T00:00:00+00:00	21.0	nan	52499	https://www.tvmaze.com/shows/52499/passaziry	Пассажиры	Scripted	Russian	['Drama', 'Supernatural']	Running	22.0	23.0	2020-12-24	nan	https://start.ru/watch/passazhiry	84.0	nan	nan	1.651991e+09	https://api.tvmaze.com/episodes/2039623
8	1987720	https://www.tvmaze.com/episodes/1987720/passaziry-1x02-saska	Сашка	1.0	2.0	regular	2020-12-24	nan	2020-12-24T00:00:00+00:00	22.0	nan	52499	https://www.tvmaze.com/shows/52499/passaziry	Пассажиры	Scripted	Russian	['Drama', 'Supernatural']	Running	22.0	23.0	2020-12-24	nan	https://start.ru/watch/passazhiry	84.0	nan	nan	1.651991e+09	https://api.tvmaze.com/episodes/2324427
9	1985788	https://www.tvmaze.com/episodes/1985788/theres-a-pit-in-my-senior-martial-brothers-brain-2x10-episode-10	Episode 10	2.0	10.0	regular	2020-12-24	11:00	2020-12-24T03:00:00+00:00	20.0	nan	38031	https://www.tvmaze.com/shows/38031/theres-a-pit-in-my-senior-martial-brothers-brain	There's a Pit in My Senior Martial Brother's Brain	Animation	Chinese	['Comedy', 'Action', 'Adventure', 'Anime']	Running	20.0	10.0	2018-04-04	nan	https://www.bilibili.com/bangumi/media/md17632/	23.0	nan	nan	1.607965e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
105	1974796	https://www.tvmaze.com/episodes/1974796/summer-camp-island-3x08-yeti-confetti-chapter-1-dont-tell-lucy	Yeti Confetti Chapter 1: Don't Tell Lucy	3.0	8.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	12.0	<p>Oscar has to distract Lucy while the Yetis prepare a surprise for her.</p>	26643	https://www.tvmaze.com/shows/26643/summer-camp-island	Summer Camp Island	Animation	English	['Comedy', 'Adventure', 'Fantasy']	To Be Determined	NaN	11.0	2018-07-07	nan	https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	79.0	nan	<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	1.639300e+09	https://api.tvmaze.com/episodes/2007692
106	1974797	https://www.tvmaze.com/episodes/1974797/summer-camp-island-3x09-yeti-confetti-chapter-2-the-yum-whisperer	Yeti Confetti Chapter 2: The Yum Whisperer	3.0	9.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	12.0	<p>Lucy and a young yeti named Fife argue about the right way to raise a litter of baby yetis they found.</p>	26643	https://www.tvmaze.com/shows/26643/summer-camp-island	Summer Camp Island	Animation	English	['Comedy', 'Adventure', 'Fantasy']	To Be Determined	NaN	11.0	2018-07-07	nan	https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	79.0	nan	<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	1.639300e+09	https://api.tvmaze.com/episodes/2031800
107	1974798	https://www.tvmaze.com/episodes/1974798/summer-camp-island-3x10-yeti-confetti-chapter-3-the-sherbet-scoop	Yeti Confetti Chapter 3: The Sherbet Scoop	3.0	10.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	12.0	<p>Lucy decides to tell a story during a Yeti cloud-making ceremony about a Yeti Elder she doesn't know.</p>	26643	https://www.tvmaze.com/shows/26643/summer-camp-island	Summer Camp Island	Animation	English	['Comedy', 'Adventure', 'Fantasy']	To Be Determined	NaN	11.0	2018-07-07	nan	https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	79.0	nan	<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	1.639300e+09	https://api.tvmaze.com/episodes/2034364
108	1974799	https://www.tvmaze.com/episodes/1974799/summer-camp-island-3x11-yeti-confetti-chapter-4-lucys-instrument	Yeti Confetti Chapter 4: Lucy's Instrument	3.0	11.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	12.0	<p>Lucy goes to Yeti school to find her instrument.</p>	26643	https://www.tvmaze.com/shows/26643/summer-camp-island	Summer Camp Island	Animation	English	['Comedy', 'Adventure', 'Fantasy']	To Be Determined	NaN	11.0	2018-07-07	nan	https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	79.0	nan	<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	1.639300e+09	https://api.tvmaze.com/episodes/2035877
109	1974800	https://www.tvmaze.com/episodes/1974800/summer-camp-island-3x12-yeti-confetti-chapter-5-wheres-the-confetti	Yeti Confetti Chapter 5: Where's the Confetti	3.0	12.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	12.0	<p>When it doesn't snow on the final day of Yeti Confetti, a Yeti Elder blames Lucy. In order to prove she belongs Lucy tries to find a way to make it snow.</p>	26643	https://www.tvmaze.com/shows/26643/summer-camp-island	Summer Camp Island	Animation	English	['Comedy', 'Adventure', 'Fantasy']	To Be Determined	NaN	11.0	2018-07-07	nan	https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	79.0	nan	<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	1.639300e+09	https://api.tvmaze.com/episodes/2035880
110	1980780	https://www.tvmaze.com/episodes/1980780/tyler-perrys-ruthless-1x19-the-purge	The Purge	1.0	19.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	46.0	<p>Andrew is given the hardest task of his life to prove that he stands with the Raku. Ruth and Tally have their eyes on Andrew while Marva has her eyes on them. With Yancy fixing the bus and Lilo paying the compound a visit, trouble will soon follow.</p><p> </p>	46668	https://www.tvmaze.com/shows/46668/tyler-perrys-ruthless	Tyler Perry's Ruthless	Scripted	English	['Drama']	Running	45.0	45.0	2020-03-19	nan	https://www.bet.plus/shows/tyler-perrys-ruthless	93.0	nan	<p>The riveting story of a woman named Ruth who kidnaps her young daughter to join her in the dark underworld of a fanatical religious cult. Based on a character introduced in <i>Tyler Perry's The Oval</i>.</p>	1.651981e+09	https://api.tvmaze.com/episodes/2094668
111	1950702	https://www.tvmaze.com/episodes/1950702/texas-6-1x07-the-rematch	The Rematch	1.0	7.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	33.0	<p>Strawn gets a do-over as they face off against Gordon for the state quarterfinals, with a healthy J.W. and Marco ready to make the most of their senior-year season.</p>	51316	https://www.tvmaze.com/shows/51316/texas-6	Texas 6	Documentary	English	['Sports']	Running	NaN	36.0	2020-11-26	nan	https://www.cbs.com/shows/texas-6/	54.0	nan	<p><b>Texas 6</b> takes place in Strawn, Texas and follows the Greyhounds, a high school six-man football team under the direction of Coach Dewaine Lee, as they attempt a three-peat for the 6-Man Football State Championship. While football remains the spine of Strawn, <i>Texas 6</i> ultimately depicts the spirit of a small town and a team that shows up for one another on and off the field.</p>	1.637773e+09	https://api.tvmaze.com/episodes/2125349
112	1962892	https://www.tvmaze.com/episodes/1962892/terror-lake-drive-1x05-no-stalker-sht	No Stalker Sh*t	1.0	5.0	regular	2020-12-24	nan	2020-12-24T17:00:00+00:00	60.0	<p>Much to his dismay, Sam asks Corey for some breathing room as he becomes the center of attention in an investigation at Freeman Lake Apartments.</p>	51706	https://www.tvmaze.com/shows/51706/terror-lake-drive	Terror Lake Drive	Scripted	English	['Drama']	Running	60.0	60.0	2020-11-26	nan	https://allblk.tv/terrorlakedrive/	75.0	nan	<p><b>Terror Lake Drive</b> follows a single mother from Baltimore who—on the heels of a recent pandemic and growing social unrest—relocates to Atlanta in an attempt to dodge her troubled past. As she settles into her new surroundings, she soon discovers that there are some things she can never run away from.</p>	1.633448e+09	https://api.tvmaze.com/episodes/2289380
113	1977419	https://www.tvmaze.com/episodes/1977419/goede-tijden-slechte-tijden-31x68-aflevering-6323	Aflevering 6323	31.0	68.0	regular	2020-12-24	20:00	2020-12-24T19:00:00+00:00	23.0	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/1998538
114	1976648	https://www.tvmaze.com/episodes/1976648/wwe-nxt-uk-2020-12-24-episode-52	Episode 52	2020.0	52.0	regular	2020-12-24	15:00	2020-12-24T20:00:00+00:00	60.0	nan	39053	https://www.tvmaze.com/shows/39053/wwe-nxt-uk	WWE NXT UK	Sports	English	[]	Running	60.0	60.0	2018-10-17	nan	nan	84.0	nan	<p>The one-hour episodes will feature the biggest names from NXT UK, including Pete Dunne, Mark Andrews, Rhea Ripley, Toni Storm, Tyler Bate, Trent Seven and Wolfgang. Joining the NXT UK broadcasting team as backstage interviewer is British broadcasting personality Radzi Chinyanganya, best known for hosting ITV game show "Cannonball," and in his ongoing role as a presenter of the world's longest-running children's TV show, the BBC's "Blue Peter." Calling the action are commentators Nigel McGuinness and Vic Joseph, joined by ring announcer Andy Shepherd and NXT UK General Manager, the legendary Johnny Saint.</p>	1.652005e+09	https://api.tvmaze.com/episodes/2044707

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